Artificial Intelligence in Finance ACCFIN5230

  • Academic Session: 2024-25
  • School: Adam Smith Business School
  • Credits: 10
  • Level: Level 5 (SCQF level 11)
  • Typically Offered: Semester 2
  • Available to Visiting Students: No
  • Collaborative Online International Learning: No

Short Description

The course provides an introduction to the main artificial intelligence (AI) algorithms and present its applications in Finance.

Timetable

Course is delivered over 2 weeks, comprising of 14 hours of lectures and 2 hours of tutorials.

Requirements of Entry

Registration on the MSc Financial Technology programme

Excluded Courses

None

Co-requisites

None

Assessment

ILO being assessed

Course Aims

The overall aim of the course is to introduce the main algorithms of AI and inform the students about is applications in Finance. The course aims to introduce Neural Networks, evolutionary programming, meta-heuristics and deep learning to students. The advantages and disadvantages of AI in Finance will be discussed along with its applications through a series of case studies and research papers. 

Intended Learning Outcomes of Course

By the end of this course students will be able to:

 

1.   Understand, explain and critically assess the main Neural Networks algorithms.

2.   Understand, explain and critically assess the main evolutionary programming algorithms.

3.   Understand and critically assess the applications of Neural Networks, evolutionary programming, meta-heuristics in Finance.

4.   Understand and critically assess the concept of deep learning in Finance applications

Minimum Requirement for Award of Credits

Students must submit at least 100% by weight of the components of the course's summative assessment.